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DATA FOR ENVIRONMENTAL MODELING: AN OVERVIEW
Citation:
LANIAK, G. F. DATA FOR ENVIRONMENTAL MODELING: AN OVERVIEW. Presented at International Environmental Modelling and Software Society Conference, Burlington, VT, July 09 - 13, 2006.
Impact/Purpose:
The primary goals are to: (1) Construct a 400-node PC-based supercomputing cluster supporting Windows and Linux computer operating systems (i.e. SuperMUSE: Supercomputer for Model Uncertainty and Sensitivity Evaluation); (2) Develop platform-independent system software for the management of SuperMUSE and parallelization of EPA models and modeling systems for implementation on SuperMUSE (and other PC-based clusters); (3) Conduct uncertainty and sensitivity analyses of the 3MRA modeling system; (4) Develop advanced algorithmic software for advanced statistical sampling methods, and screening, localized, and global sensitivity analyses; and (5) Provide customer-oriented model applications for probabilistic risk assessment supporting quality assurance in multimedia decision-making.
Description:
The objective of the project described here, entitled Data for Environmental Modeling (D4EM), is the development of a comprehensive set of software tools that allow an environmental model developer to automatically populate model input files with environmental data available from both local and internet-based databases. Included in this project summary are descriptions of: 1) the range of data needs associated with modern environmental assessments, 2) key software development decisions and strategies, 3) a description of the D4EM system design, and 4) a description of the relationship between the D4EM software system and environmental models and modeling systems.